research
∙
12/10/2021
Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on Real-World Robots
While deep reinforcement learning (RL) agents have demonstrated incredib...
share
research
∙
09/16/2021
Evaluating the Impact of Semantic Segmentation and Pose Estimation on Dense Semantic SLAM
Recent Semantic SLAM methods combine classical geometry-based estimation...
research
∙
07/21/2021
Bayesian Controller Fusion: Leveraging Control Priors in Deep Reinforcement Learning for Robotics
We present Bayesian Controller Fusion (BCF): a hybrid control strategy t...
research
∙
06/03/2021
Learning and Executing Re-usable Behaviour Trees from Natural Language Instruction
Domestic and service robots have the potential to transform industries s...
research
∙
09/11/2020
The Robotic Vision Scene Understanding Challenge
Being able to explore an environment and understand the location and typ...
research
∙
08/03/2020
BenchBot: Evaluating Robotics Research in Photorealistic 3D Simulation and on Real Robots
We introduce BenchBot, a novel software suite for benchmarking the perfo...
research
∙
03/11/2020
Multiplicative Controller Fusion: A Hybrid Navigation Strategy For Deployment in Unknown Environments
Learning-based approaches often outperform hand-coded algorithmic soluti...
research
∙
01/31/2020
Robot Navigation in Unseen Spaces using an Abstract Map
Human navigation in built environments depends on symbolic spatial infor...
research
∙
09/24/2019
Residual Reactive Navigation: Combining Classical and Learned Navigation Strategies For Deployment in Unknown Environments
In this work we focus on improving the efficiency and generalisation of ...
research
∙
04/06/2018